Triple
T13887644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compensatory Afforestation Fund Management and Planning Authority |
E333886
|
entity |
| Predicate | fundTypeManaged |
P30088
|
FINISHED |
| Object | compensatory afforestation fund |
E333886
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: compensatory afforestation fund | Statement: [Compensatory Afforestation Fund Management and Planning Authority, fundTypeManaged, compensatory afforestation fund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: compensatory afforestation fund Context triple: [Compensatory Afforestation Fund Management and Planning Authority, fundTypeManaged, compensatory afforestation fund]
-
A.
Compensatory Afforestation Fund Management and Planning Authority
chosen
The Compensatory Afforestation Fund Management and Planning Authority (CAMPA) is an Indian government body responsible for managing and disbursing funds collected for compensatory afforestation and related forest conservation activities.
-
B.
REDD+
REDD+ is an international climate policy framework that incentivizes developing countries to reduce emissions from deforestation and forest degradation while promoting conservation, sustainable forest management, and enhancement of forest carbon stocks.
-
C.
Environmentally Sensitive Areas scheme
The Environmentally Sensitive Areas scheme was a UK government agri-environment program that paid farmers to manage land in ways that protected and enhanced landscapes, wildlife, and historic features in particularly vulnerable rural areas.
-
D.
Forest Survey of India
The Forest Survey of India is a government agency responsible for assessing and monitoring the country’s forest resources and producing authoritative forest cover reports and statistics.
-
E.
Environmental and Forestry Research, Development, and Innovation Agency
The Environmental and Forestry Research, Development, and Innovation Agency is an Indonesian government body responsible for conducting research and fostering innovation to support sustainable environmental management and forestry policy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a281e481908a6184bcd7f59c03 |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c718140c8190a625da87231ee814 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.